activity
20132026
most citedQT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

713 citations · 2.8k across the 24 of their papers we have counts for

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2 papers · 1 filter

cs.AI2026

MemWM: Memory-Augmented Text-Based World Model

Yujun Wang, Tao Zhang, Jinhe Bi +9

World models are increasingly used to support planning in agents by predicting how environment states evolve in response to agent actions. Yet fluent next-state predictions can sti…

cs.AI2018★ 94 cited

Diversity is All You Need: Learning Skills without a Reward Function

Benjamin Eysenbach, Abhishek Gupta, Julian Ibarz +1

Intelligent creatures can explore their environments and learn useful skills without supervision. In this paper, we propose DIAYN ('Diversity is All You Need'), a method for learni…